Objective

This study describes a restriction fragment polymorphism protocol for rapidly screening the polymorphism SLCO1B1 c.1929A>C in genomic DNA samples. The polymorphism SLCO1B1 c.1929A>C has been associated with increased activity resulting in increased hepatic uptake of drugs. Currently SLCO1B1 c.1929A>C is genotyped using direct sequencing techniques and 5′ nuclease based assays which can be cost prohibiting in resource limited settings. The aim of this study therefore was to design and validate a cost effective RFLP for genotyping the SLCO1B1 c.1929A>C polymorphism. This study was designed to investigate the effect of the polymorphism SLCO1B1 c.1929A>C on interindividual variability in rosuvastatin pharmacokinetics in healthy volunteers of African descent.

Results

We describe a restriction fragment length polymorphism method to genotype SLCO1B1 c.1929A>C polymorphism using the restriction enzyme Ase1. A student’s t test with Welch correction was used to establish association between the SLCO1B1 c.1929A>C variant and rosuvastatin exposure. The frequency of the SLCO1B1 c.1929C allele amongst Zimbabweans was 6%. The SLCO1B1 c.1929C allele was associated with a 75% reduction (P < 0.001) in rosuvastatin exposure when compared to individuals carrying the wild type SLCO1B1 c.1929A allele. Polymorphism c.1929A>C may therefore play a significant role in rosuvastatin response. The RFLP method is quick and cost effective.

As part of a larger pharmacogenetics study, we opted to explore the possible impact of single nucleotide polymorphism c.1929A>C; within the gene Solute carrier organic anion transporter family member 1B1 (SLCO1B1) on rosuvastatin pharmacokinetics. The SLCO1B1 (c.1929A>C, p.Leu643Phe) SNP has been associated with altered OATP1B1 transporter activity [1]. The c.1929C allele has been associated with increased hepatic uptake of the antifolate methotrexate (P = 0.028) in cancer patients [2] and increased uptake of atorvastatin [3]. To do this we required a quick and cheap method to detect SLCO1B1 c.1929A>C in our study population. Currently, genotyping of the SLCO1B1 c.1929A>C is done using the relatively more expensive methods such as Sanger sequencing, 5′-nuclease assays [3], microarrays [2, 3]. Although methods such as mass arrays and sequencing offer more robust, automated and at times pre-validated options, restriction fragment length polymorphism (RFLP) remains an attractive method of choice for resource limited settings [4]. We describe, therefore, a quick cost effective RFLP based method to detect the SLCO1B1 c.1929A>C variant.

Methods

Design of the RFLP

Both forward and reverse PCR primers were designed using the PrimerQuest Tool (Integrated DNA Technology, Iowa, USA) and tested for specificity using the NCBI Nucleotide Blast tool. The forward primer was 5′-GGCCAGAGGCAACTAGAGTAT-3′ and 5′-ATACTCTAGTTGCCTCTGGCC -3′ served as the reverse primer. Using the web based program NebCutter [5]; we selected the restriction enzyme Ase1 for the production of restriction fragments.

Evaluation of the RFLP

To evaluate the RFLP we selected 157 genomic DNA samples from an in-house DNA bank wholly owned by the Pharmacogenomics and Cancer Research Group, in the Human Genetics Division, Faculty of Health Sciences at the University of Cape Town. All DNA samples have approval for use in ongoing pharmacogenomics research. All 157 DNA samples were obtained from Zimbabwean adults of self-reported African-Bantu descent. Ethnicity could be traced to the third generation.

Amongst these 157 individuals were 30 who took part in a pharmacokinetic study of rosuvastatin. Recruitment of healthy volunteers for the rosuvastatin study has been reported elsewhere [6], briefly 30 healthy adult male (age 18–30 years) volunteers were recruited from the Harare Metropolitan Province, in Zimbabwe. Ethical approval for the pharmacokinetic trial was obtained from the Medicines Research Council of Zimbabwe (Ref: MRCZ/A/1793), The University of Cape Town Faculty of Health Sciences Research Ethics Committee (Ref: 197/2014) and the Chitungwiza General Hospital Institution Review Board. After a 12 h overnight fast, each participant administered 20 mg of rosuvastatin calcium with 450 ml of water. Venous blood was collected over 30 h post drug administration and drug levels from each time point were estimated and the resultant drug concentrations used to develop pharmacokinetic profiles of each individual. Rosuvastatin plasma concentrations were analysed using ultra performance liquid chromatography (UPLC) with mass spectrometric detection according to a method developed and validated by Astra Zeneca (Sweden) with a limit of detection of quantification for rosuvastatin in plasma was 0.47 ng/ml.

Genomic DNA was extracted from 1.5 ml of whole blood drawn from each participant using the QIAmp DNA Blood Kit (Qiagen, Hilden, Germany). The PCR proceeded as follows: each 25 µl reaction contained 75 ng of genomic DNA, 0.2× GoTaq PCR Buffer (Promega, Wisconsin, USA), 0.2 mM dNTPs (ThermoFisher Scientific, Massachusetts, USA), 1.0 µM of each primer (Integrated DNA Technology, Iowa, USA), 0.5 U of GoTaq (Promega, Wisconsin, USA), made up to 25 µl using nuclease free water. The reaction began with an initial denaturation at 94 °C for 5 min, followed by 40 cycles of denaturation at 94 °C for 45 s, annealing at 61.0 °C for 30 s, extension at 72 °C for 1 min and a final extension at 72 °C for 5 min. The PCR product was 470 bp in length.

Validation of the RFLP method by Sanger sequencing

To validate the RFLP all sample amplicons were first cleaned in a 20 µl reaction that included 5 µl of the PCR product, 1U of FastAp thermosensitive alkaline phosphatase (ThermoScientific, UK), 2U Exonuclease 1 (ThermoScientific, UK), and incubated at 37 °C for 60 min followed by enzyme inactivation at 75 °C for 15 min using a MyCycler Thermal Cycler (Biorad, City, Country).

All cleaned amplicons were sequenced on an ABI 3100 Gene Analyser (Applied Biosystems, Massachusetts, USA) using a Big Dye Terminator Cycle Sequencing Ready Kit (Applied Biosystems, Massachusetts, USA). For each of the sequencing reaction, one of the primers used for PCR amplification was used or both were used individually to confirm variations.

Data analysis

Sequencing data was analysed using SeqMan Pro (DNASTAR Inc., Madison, USA). All statistical analysis was done using Graph Pad Prism (Graph Pad Software Inc, California, USA). Chi square was used to check for adherence to Hardy–Weinberg Equilibrium; differences in allele frequencies were analysed using the non-parametric One Way ANOVA (Kruskal Wallis test). Genotype associations with the phenotype peak serum drug concentration (Cmax), were analysed using the Student’s t test with Welch’s correction.

Results and discussion

Allele and genotype frequencies are shown in Table 1. A total of 157 Zimbabwean samples were genotyped for the SLCO1B1 c.1929A>C SNP using both direct sequencing and the designed RFLP method. Comparison of results obtained using RFLP and direct sequencing showed a 100% correlation (see Fig. 1 showing an example of the comparison). All genotypes were consistent with Hardy–Weinberg equilibrium (P = 0.92). There were no statistically significant differences in the frequency of and SLCO1B1 c.1929C allele between the Zimbabwean population and all the major populations represented in the 1000 Genomes Project [7]. Amongst the 157 Zimbabwean samples genotyped, 30 individuals were healthy volunteers who participated in the rosuvastatin pharmacokinetic trial. Of these 30 healthy individuals, three individuals had the SLCO1B1 c.1929C allele, these 3 individuals also carried the SLCO1B1 c.388G allele and therefore bore the SLCO1B1*35 haplotype. The SLCO1B1*35 haplotype in this study population was 6%. None of the 157 individuals was homozygous for the SLCO1B1 c.1929C allele, the genotype SLCO1B1 c.1929C/C is rare even amongst all the ethnic populations represented in the 1000 Genomes Database (Table 1).

The SLCO1B1 c.1929A/C genotype was associated with a 75% reduction in Cmax (P < 0.001) of rosuvastatin (Fig. 2) when compared to individuals with the SLCO1B1 c.1929A/A genotype. This reduction in Cmax in carriers of SLCO1B1 c.1929C allele could indicate a potential increase in hepatic uptake due to increased transporter activity. These results are consistent with the possible increased hepatic uptake by the OATP1B1 Phe643 variant reported previously for both methotrexate [2] and atorvastatin [3]. In addition, this study reports the possible importance of the SLCO1B1 c.1929A>C in interindividual response to rosuvastatin therapy. The liver serves as both the target of statin therapeutic activity and disposition therefore carriers of SLCO1B1 c.1929.C variant are likely to have larger positive outcomes than non-carriers and possibly reduced incidence of SIM. However, questions remain on the possible impact of SLCO1B1 c.1929A>C on the pharmacotherapy of drugs like lopinavir and methotrexate, where increased hepatic uptake may potentially lower drug efficacy and therapeutic outputs.

Fig. 2

Association of the c.1929A>C variant with the pharmacokinetics of rosuvastatin in 30 healthy male Zimbabwean adults of Bantu ancestry. Graph shows Cmax mean per genotype with SM in bracket

Conclusions

The RFLP method we describe here is quick, accurate and cost effective, it may assist in increasing evaluation of this important variant in a concerted effort to improve efficacious and safe use of drugs whose transport is mediated by the SLCO1B1 transporter OATP1B1.

The major limitation of this study was the sample size. However, the RFLP described here can be used to genotype larger sample sets as it is relatively cost effective when compared to current genotyping methods. In addition, the application of this RFLP in genotyping SLCO1B1 c.1929A>C in participants of the rosuvastatin pharmacokinetics trial launches the need for further investigation of this polymorphism and its effect on OATP1B1 transporter activity.

Authors’ contributions

NDS designed the project, conducted the study, wrote and revised the manuscript. CM assisted in designing the study, supervised certain aspects of the project, revised and corrected the manuscript. CD designed the study, supervised the project, wrote and edited the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We would like to thank the African Institute of Biomedical Sciences and Technology (AiBST) for their assistance in designing and implementing the rosuvastatin pharmacokinetic study.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All data generated or analysed during this study are included in this published article.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study was approved by the Medical Research Council of Zimbabwe (Ref: MRCZ/A/1793) and The University of Cape Town Faculty of Health Sciences Research Ethics Committee (Ref: 197/2014).

Funding

This study was funded by the African Institute for Biomedical Sciences (AiBST), Harare, Zimbabwe, University of Cape Town and the Medical Research Council of South Africa (SAMRC) through grants to CM and CD, respectively.

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